郑晓龙,李家彤.人工智能时代的开源与闭源技术模式探讨[J].中国科学院院刊,2025,40(3):459-464.

人工智能时代的开源与闭源技术模式探讨

Discussion on open-source and closed-source technology models in era of artificial intelligence

郑晓龙^1,2*
中国科学院自动化研究所 多模态人工智能系统全国重点实验室 北京 100190;中国科学院大学 前沿交叉科学学院 北京 101408
ZHENG Xiaolong^1,2*
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
李家彤²
中国科学院大学 前沿交叉科学学院 北京 101408
LI Jiatong²
School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing 101408, China

         开源大模型;闭源大模型;技术创新;人工智能监管

        open-source large models;closed-source large models;technological innovation;artificial intelligence regulation

        文章阐述了人工智能时代开源与闭源两种技术模式在技术创新和生态系统建设中的优势与不足，讨论了两种技术模式当前存在的一些前沿争议，提出了一些破局的基本思路，为推动人工智能技术健康发展提供借鉴。

        This article presents the advantages and disadvantages of open-source and closed-source models in technology innovation and ecosystem construction in the era of artificial intelligence. We explore some current cutting-edge controversies between the two technology models, and puts forward some basic ideas for breaking the deadlock, which can provide some significant insights into promoting the healthy development of artificial intelligence technologies.